Other packages > Find by keyword >

leabRa  

The Artificial Neural Networks Algorithm Leabra
View on CRAN: Click here


Download and install leabRa package within the R console
Install from CRAN:
install.packages("leabRa")

Install from Github:
library("remotes")
install_github("cran/leabRa")

Install by package version:
library("remotes")
install_version("leabRa", "0.1.0")



Attach the package and use:
library("leabRa")
Maintained by
Johannes Titz
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-09-22
Latest Update: 2017-09-22
Description:
The algorithm Leabra (local error driven and associative biologically realistic algorithm) allows for the construction of artificial neural networks that are biologically realistic and balance supervised and unsupervised learning within a single framework. This package is based on the 'MATLAB' version by Sergio Verduzco-Flores, which in turn was based on the description of the algorithm by Randall O'Reilly (1996) . For more general (not 'R' specific) information on the algorithm Leabra see .
How to cite:
Johannes Titz (2017). leabRa: The Artificial Neural Networks Algorithm Leabra. R package version 0.1.0, https://cran.r-project.org/web/packages/leabRa. Accessed 22 Dec. 2024.
Previous versions and publish date:
No previous versions
Other packages that cited leabRa R package
View leabRa citation profile
Other R packages that leabRa depends, imports, suggests or enhances
Complete documentation for leabRa
Functions, R codes and Examples using the leabRa R package
Some associated functions: animals . layer . leabRa . network . unit . 
Some associated R codes: data.R . layer.R . leabRa.R . misc.R . network.R . unit.R .  Full leabRa package functions and examples
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

wordspace  
Distributional Semantic Models in R
An interactive laboratory for research on distributional semantic models ('DSM', see < ...
Download / Learn more Package Citations See dependency  
dmlalg  
Double Machine Learning Algorithms
Implementation of double machine learning (DML) algorithms in R, based on Emmenegger and Buehlmann ...
Download / Learn more Package Citations See dependency  
elect  
Estimation of Life Expectancies Using Multi-State Models
Functions to compute state-specific and marginal life expectancies. The computation is based on a fi ...
Download / Learn more Package Citations See dependency  
Rfast2  
A Collection of Efficient and Extremely Fast R Functions II
A collection of fast statistical and utility functions for data analysis. Functions for regression, ...
Download / Learn more Package Citations See dependency  
tropAlgebra  
Tropical Algebraic Functions
It includes functions like tropical addition, tropical multiplication for vectors and matrices. In t ...
Download / Learn more Package Citations See dependency  
composits  
Compositional, Multivariate and Univariate Time Series Outlier Ensemble
A compositional multivariate and univariate time series outlier ensemble.It uses the four R packages ...
Download / Learn more Package Citations See dependency  

23,394

R Packages

201,798

Dependencies

63,416

Author Associations

23,395

Publication Badges

© Copyright 2022 - present. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA